We added an interactive map with elevation chart in the analysis section of our prediction dashboard. This new tool provides a quick overview of how & where the passings have been detected, their corresponding loction on the shadowtrack and addtional information about segments. Using this tool you can enhance the predictive live tracking even during the ongoing race. 

All information about our "do it yourself" dashboard for predictive live tracking in our documentation: https://docs.racemap.com/predictive-tracking-with-data-from-timekeeping

Predictive tracking processes sporadic detections from a timing system and shows a race visualization in real-time. The participant markers move smoothly in the interactive map. Prediction enables an effortless live forecast of all participants and is a scalable tracking solution for mass events.

For RACE RESULT timers we developed new tests and auto-checks. Now, our prediction dashboard provides clearer feedback on settings & on forwarded data. We support the timekeeper even more effectively and prevent unintentional mistakes when setting up the event before and while live-tracking a race.

• Auto-check, if forwarding to Racemap is set in track box settings, 
• Auto-test, if forwarding to Racemap is working, 
• Display the locations and the mapping of the track boxes and
• Import and sync participant data 

Our users spend less time docu reading but do more and better live tracking. More about predictive live tracking in our documentation: https://docs.racemap.com/predictive-tracking-with-data-from-timekeeping

We've added handy analyzing tools to our prediction dashboard to help you timers conducting predictive live tracking of your races. The data set can be filtered for every participant.

• Two diagrams show the deviation between our extrapolation and the real data. The time when reads are sent to us is highlighted also, to better understand the impact of delayed data. 
  
   
  
• The list of all accepted pings and a list of all received pings, which included the dropped pings. 
  

Read all about predictive live tracking with our tracking platform in our documentation: https://docs.racemap.com/predictive-tracking-with-data-from-timekeeping 

To improve predictive live tracking you can now split the shadowtrack into segments and we added the option to set a specific speed for each segment. The segmemt speed is the speed at which markers are moved from the beginning of the segment until the speed is corrected by a new read or by a new segment (with a new specific speed). 

• At a triathlon event segments for swimming, cycling, running, and transition. 
• At a trial event segments for uphill and for downhill. 

The prediction dashboard provides the speed information in a clear manner. 

You can set the segement speed in the map tab for each split separatly.

Read all about our predictive live tracking solution in our documentation: https://docs.racemap.com/predictive-tracking-with-data-from-timekeeping

Racemap tracking platform provides a solution for live visualization of a races from sporadic reads of the timing system. We call it predictive tracking (prediction). We now published our new dashboard for the prediction showing insights and giving feedback to improve your predictive live tracking and supporting your team on the race ground. 

The dashboard is separated into four sections: 

Thanks to user feedback we have developed an intuitive guide that pilots you to correct settings for predictive live tracking. If the imported information in participants section can be used for predictive tracking you will be asked for further settings.

In case you are working with the RACE|RESULT timing software the modal even checks the forwarding of detections. The new interactive setup guide helps you to adjust your timekeeping system for live visualizations some days before the event. And during the event, you keep free hands for important things to do.

Documentation about live visualization based on detections from timekeeping and predictions: https://docs.racemap.com/predictive-tracking-with-data-from-timekeeping